The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
The global shortest path programming (GSPP) has extensive applications in engineering practices. The Steiner tree problem is a nonlinear programming conundrum with fixed points and fictive points and is typical theoretical basis of GSPP. The Steiner minimum tree (SMT) problem can be changed to a combination-optimization problem, a test selection algorithm for the construction of the initial population...
Automated learning systems used to extract useful information from musical scripts, play a major role in optical music recognition. Optical music recognition or OMR has been widely used to extract the musical notations and knowledge from old scripts and thus enclose lot of importance in retrieving historical data. The field of pattern recognition and knowledge representation has to be symmetrically...
This paper describes the design and testing of the optimal type-2 fuzzy controller obtained using genetic algorithms (GA) for the optimization of triangular and trapezoidal membership functions of a fuzzy system, for hardware representations such as the Field Programmable Gate Array (FPGA). The GA uses only certain points of the membership functions, the fuzzy rules are not changed, with the purpose...
Parameters of ball mill load (ML) affects production capacity and energy consumption of the grinding process, which have stronger correlation with shell vibration spectrum. A novel spectral features extraction and selection approach combined with empirical mode decomposition(EMD), power spectral density(PSD), kernel principal component analysis(KPCA), genetic algorithms(GA) and partial least square(PLS)...
Active Disturbance Rejection Control (ADRC) method is used as auto speed regulator (ASR) to improve the dynamic performance of cascade control for winding motors in double closed loop control system. In order to optimize the numerous parameters of ADRC, an optimizing objective function is proposed, which is based on the error integral criteria and considered the static and dynamic characteristics...
The objective of this research is to propose a new and practical LQG control method for the vehicle active suspension. The novelty lies in optimizing the LQG controller without road input signal for the active suspension to improve practicability of LQG control method. Taking a quarter-vehicle model as an example, the control parameters of LQG controller without road input signal for the active suspension...
The scheduling algorithm is the key technology for the radio resource management. In order to match time-varying network environment, we introduce the conceptions of self-adaptation and multi-objective into the proposed scheduling method. There, Node B uses several parameters to calculate the scheduling priority. At the same time, the genetic algorithm is used to adjust the Weights of multi-objective...
In concern with the slow-convergence disadvantage of GA, PSO is combined with GA in this paper for a load distribution optimization among turbine-generators. By comparison with GA method, it is shown that PSO-GA is better than the GA method in the aspect of calculation speed, bearing excellent stability and fast convergence.
Integration of system components is a crucial challenge in the design of embedded real-time systems, as complex non-functional interdependencies may exist. [20] presented a framework, enabling autonomous verification of timing properties in the system itself. The work presented in this paper, takes that approach one step further, enabling autonomuous assignment of execution priorities under timing...
Battlefield electromagnetic environment has become more and more complex under the background of information war. Strong interfering signals have seriously affected the quality of communication and reliability of information. To weaken or even eliminate the effect of the unwanted signal to the wanted one, genetic algorithm (GA) is utilized to optimize element current amplitudes in obtaining the needed...
From the perspective of optimal LCC(Life cycle cost), this paper studied the method to develop a reasonable maintenance strategy of power equipment. The deterioration theory in the field of mechanical engineering was led in, based on that we analyzed the failure rates of each repair period and established the model of the optimal problem, then, through a case study, we got the optimal maintenance...
Cost minimization is one of the main goals in electric market so economic dispatch and load allocating, named as optimal power flow (OPF), are more interesting concerns. In this paper a Modified Genetic Algorithm (MGA) is presented for the solution of the OPF. The control variables are unit active power outputs, generator-bus voltages and discrete transformer-tap settings. To overcome the operating...
This paper studies the job-shop scheduling problems of multi-process routes with fuzzy processing time and fuzzy due date, and establishes a fuzzy scheduling model to reach the optimization goals of maximum average satisfaction index. Then a co-evolutionary algorithm combined with genetic algorithm and discrete particle swarm optimization algorithm is presented, which improves the chromosome encoding...
This paper presents Reduce risk of a genetic algorithm based path-planning algorithm for local obstacle avoidance of a mobile robot with change in fitness function. The method tries to find not only a valid path but also an optimal one. The objectives are to minimize the length of the path and the number of turns. The proposed path planning method allows use some effective parameter to define fitness...
One of the major problems in electric power quality is the harmonic contents. This paper focuses on elimination (reduction) of harmonics in a H-bridge multi-level voltage-source inverter. Here the basic concept is to eliminate specific harmonics with a proper choice of switching angles. This technique is very efficient for improving the multi-level inverter output voltage quality. In This paper, Generalized...
The recent emphasis on energy conversion demands an improvement of the efficiency of three-phase induction motors (IM). The high efficiency IM can be achieved by selecting optimum motor design parameters. Therefore, it is necessary to develop an efficient evolutionary approach for optimal design of three-phase IM. This paper presents a bacterial foraging (BF) algorithm for optimizing the IM design...
This paper proposes an operation scheduling method to assign an anesthetist efficiently. The work of anesthetist is divided into some anesthetic procedures for an operation, such as pretreatment, maintenance and observation of anesthesia, and recovering procedure from anesthesia, and work outside the operating room. The degree of urgency and busyness is different among the work. Anesthetist's behaviors...
In this paper, a dual-resource constrained job shop scheduling problem was studied. According to the information processing mechanism of an immune system in biotic science, a new immune Genetic Algorithm for flexible job shop scheduling through combining immune algorithm with genetic algorithm was proposed. The algorithm can effectively avoid the premature convergence problem caused by the high selective...
In this paper, a new network reconfiguration approach is presented in which the voltage balance index is taken for the objective function and the optimal structure of distributed network can be found through the refined genetic algorithm (RGA). In the meantime, by simplifying the distribution network, the length of chromosome is reduced and the efficiency of the algorithm is increased. The calculations...
This paper is mainly concerned with the development of a control method for a permanent-magnet synchronous motor (PMSM) which runs in the conditions of a networked control system (NCS). A middleware is implemented and modifies the output of the controller based on gain scheduling. The gain scheduling is designed by using an artificial neural network, which is first trained offline to learn the relation...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.